A Smart Access Control Method for Online Social Networks Based on Support Vector Machine

IEEE Access

Jizhao Liu¹  Xueyuan Wang¹  Weiguang Liu¹  Fangfang Shan²  Bing Zhou² 

[1] School of Computer Science, Zhongyuan University of Technology, Zhengzhou, China;School of Information Engineering, Zhengzhou University, Zhengzhou, China;

关键词: Online social networks;    access control method;    support vector machine;    machine learning;   

DOI  :  10.1109/ACCESS.2020.2963932

来源: DOAJ

【 摘 要 】

With the rapid development of Internet technology, online social networks (OSNs) has become one of the main ways for people to develop social activities. In order to maintain and strengthen interpersonal relationships, users are willing to share personal behaviors, feelings and other things through OSNs. Whether these resources reveal private information or not depends on the appropriateness of the access control policies set by the owner. However, with the increasing number of friends and complex relationships, it becomes more and more difficult for OSNs users to set appropriate access control policies. Aiming at above problems, a smart access control method for online social networks is proposed based on SVM algorithm to realize smart access control on the basis of integrating relationship types and description information of published content as eigenvectors. The experimental results show that this mechanism can automatically recommend the list of visible friends according to the content published by users and the relationship between users and friends, allowing users to modify the list to obtain the final access control policy, which can effectively protect users' privacy information.

【 授权许可】

Unknown